What challenges did TPFx face before AI implementation?

Needed to launch a mobile trading app that could handle up to 150,000 connections per minute without compromising speed, security, or availability. Required seamless scalability during peak trading, end-to-end security for sensitive transactions, high availability, and quick secure access across multiple zones.

What was the impact of the AI solution?

Supports up to 150,000 connections per minute and scales seamlessly during peak trading. Multi-zone deployment and auto-scaling ensure high availability and business continuity. Accelerates innovation and reduces time-to-market for new features. Strengthens long-term agility, innovation, and competitive advantage in financial trading.

Source

AlibabaProductionEvidence: Medium65/100

TPFx Builds Next-Gen Mobile High-Frequency Trading with Alibaba Cloud Security, ALB, and AI Search (Elasticsearch)

Use case typeTrading platform modernizationUpdated Jan 1, 2024

TPFx, a financial technology company in Indonesia, built a next-generation mobile high-frequency trading app on Alibaba Cloud. The architecture supports up to 150,000 connections per minute and uses Alibaba Cloud Anti-DDoS, WAF, Security Center, Application Load Balancer, Cloud Monitor, OSS, Simple Log Service, Tair, Alibaba Cloud Elasticsearch, and plans for ACK-based microservices modernization.

Organization: TPFx
Industry: Finance
Location: Indonesia
Published: January 2024

Reported outcomes

150,000 connections per minute

peak connections per minuteOther quantified impact

Strategic outcomes

Scale & capacityHandled peak trading traffic at scaleRisk & complianceImproved security and complianceSpeed & agilityReduced time-to-market for featuresOther strategic outcomeMaintained high availability during traffic surges

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Peak connections per minute: 150,000 connections per minute

Alibaba Cloud Customer StoriesJan 1, 2024Customer storyExplicit claimMedium evidence strength

Supports up to 150,000 connections per minute

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: TPFx
Provider: Alibaba
Maturity: Production
Linked source: Alibaba Cloud Customer Stories

Deployed a highly available application architecture with ALB for fault tolerance

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

1Trading platform modernization
2Search modernization
3Infrastructure modernization

Needed to launch a mobile trading app that could handle up to 150,000 connections per minute without compromising speed, security, or availability.
Required seamless scalability during peak trading, end-to-end security for sensitive transactions, high availability, and quick secure access across multiple zones.

Deployed a highly available application architecture with ALB for fault tolerance.
Used distributed databases and Tair for low-latency real-time access, layered security controls, and comprehensive monitoring and logging.
Planned containerization and microservices modernization using Alibaba Cloud Container Service for Kubernetes and microservices frameworks.

Technologies

Alibaba Cloud Anti-DDoS Pro Web Application Firewall (WAF)Alibaba Cloud Security Center Application Load Balancer (ALB)CloudMonitor Object Storage Service (OSS)Simple Log Service Tair (Redis OSS-compatible)Alibaba Cloud Elasticsearch Alibaba Cloud Container Service for Kubernetes (ACK)

Supports up to 150,000 connections per minute and scales seamlessly during peak trading.
Multi-zone deployment and auto-scaling ensure high availability and business continuity.
Accelerates innovation and reduces time-to-market for new features.
Strengthens long-term agility, innovation, and competitive advantage in financial trading.

Architecture

The deployed solution uses Alibaba Cloud Anti-DDoS, Web Application Firewall (WAF), Security Center, Application Load Balancer (ALB), Tair (Redis OSS-Compatible), Cloud Monitor, OSS, Simple Log Service, and Alibaba Cloud Elasticsearch, with future modernization planned using Alibaba Cloud Container Service for Kubernetes (ACK) and microservices frameworks.

Sources & evidence1

Evidence: Medium65/100Evidence strength